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https://api.github.com/repos/huggingface/transformers/issues/8 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8/comments | https://api.github.com/repos/huggingface/transformers/issues/8/events | https://github.com/huggingface/transformers/pull/8 | 378,859,647 | MDExOlB1bGxSZXF1ZXN0MjI5NDY0MjQ5 | 8 | fixed small typos in the README.md | {
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"Many thanks!"
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https://api.github.com/repos/huggingface/transformers/issues/7 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7/comments | https://api.github.com/repos/huggingface/transformers/issues/7/events | https://github.com/huggingface/transformers/pull/7 | 378,498,589 | MDExOlB1bGxSZXF1ZXN0MjI5MTkxMDMx | 7 | Develop | {
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Various clean-ups:
- the weight initialization was not optimal (tf. truncated_normal_initializer(stddev=0.02) was translated in weight.data.normal_(0.02) instead of weight.data.normal_(mean=0.0, std=0.02) which likely affected the performance of run_classifer.py also.
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6/comments | https://api.github.com/repos/huggingface/transformers/issues/6/events | https://github.com/huggingface/transformers/issues/6 | 377,736,844 | MDU6SXNzdWUzNzc3MzY4NDQ= | 6 | Failure during pytest (and solution for python3) | {
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"Thanks, I update the readme."
] | 1,541 | 1,541 | 1,541 | CONTRIBUTOR | null | ```
foo@bar:~/foo/bar/pytorch-pretrained-BERT$ pytest -sv ./tests/
===================================================================================================================== test session starts =================================================================================================================... | {
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https://api.github.com/repos/huggingface/transformers/issues/5 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5/comments | https://api.github.com/repos/huggingface/transformers/issues/5/events | https://github.com/huggingface/transformers/issues/5 | 377,698,378 | MDU6SXNzdWUzNzc2OTgzNzg= | 5 | MRPC hyperparameters question | {
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"Hi Ethan,\r\nThanks we used the MRPC hyper-parameters indeed, I corrected the README.\r\nRegarding the dev set accuracy, I am not really surprised there is a slightly lower accuracy with the PyTorch version (even though the variance is high so it's hard to get something significant). That is something that is gene... | 1,541 | 1,541 | 1,541 | CONTRIBUTOR | null | When describing how you reproduced the MRPC results, you say:
"Our test ran on a few seeds with the original implementation hyper-parameters gave evaluation results between 82 and 87."
and you link to the SQuAD hyperparameters (https://github.com/google-research/bert#squad).
Is the link a mistake? Or did you use t... | {
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https://api.github.com/repos/huggingface/transformers/issues/4 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4/comments | https://api.github.com/repos/huggingface/transformers/issues/4/events | https://github.com/huggingface/transformers/pull/4 | 377,620,943 | MDExOlB1bGxSZXF1ZXN0MjI4NTIxMjA3 | 4 | Fix typo in subheader BertForQuestionAnswering | {
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"exact thanks !"
] | 1,541 | 1,541 | 1,541 | CONTRIBUTOR | null | Should say `BertForQuestionAnswering`, but says `BertForSequenceClassification`. | {
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"It also seems to me that the SQuAD 1.1 can not reproduce the google tensorflow version performance.",
"> It also seems to me that the SQuAD 1.1 can not reproduce the google tensorflow version performance.\r\n\r\nWhat batch size are you running?",
"I'm running on 4 GPU with a batch size of 48, the result is {\"... | 1,541 | 1,542 | 1,541 | NONE | null | Thanks a lot for the port! I have some minor questions, for the run_squad file, I see two options for accumulating gradients, accumulate_gradients and gradient_accumulation_steps but it seems to me that it can be combined into one. The other one is for the global_step variable, seems we are only counting but not using ... | {
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https://api.github.com/repos/huggingface/transformers/issues/2 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/2/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/2/comments | https://api.github.com/repos/huggingface/transformers/issues/2/events | https://github.com/huggingface/transformers/pull/2 | 377,592,526 | MDExOlB1bGxSZXF1ZXN0MjI4NDk5Mjc3 | 2 | Port tokenization for the multilingual model | {
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"Thanks for that, sorry for the delay"
] | 1,541 | 1,541 | 1,541 | CONTRIBUTOR | null | {
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